Author

Emilio Fenoy

Consejo Nacional de Investigaciones Científicas y TécnicasORCID 0000-0001-9121-7149Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:protein structure prediction· 2 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Diego Humberto MiloneiD· 3 shared Georgina S. StegmayeriD· 3 shared Leandro A. BugnoniD· 3 shared Rosario VitaleiD· 2 shared Sofia DuarteiD· 2 shared Federico ArieliD· 1 shared Jonathan RaadiD· 1 shared Leandro Ezequiel Di PersiaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Diego Humberto MiloneORCID

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3 papers

Recent·Most cited

BioinformaticsJournal of Structural BiologyPeer-reviewedFeb 2, 2026

GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation

Emilio Fenoy, Leandro A. Bugnon, Rosario Vitale…·Georgina S. Stegmayer

GNN2Pfam uses graph neural networks to improve Pfam domain annotation by integrating protein sequence and structure data, outperforming HMM-based methods.

DOI 10.1016/j.jsb.2026.108294

protein sequenceprotein structure

BioinformaticsbioRxivPreprintAug 2, 2025

ET-Pfam: Ensemble transfer learning for protein family prediction

Sofia Escudero, Sofia Duarte, Rosario Vitale…·Georgina S. Stegmayer

ET-Pfam improves protein family prediction by combining transfer learning and ensemble strategies, achieving lower error rates than individual models and competitors.

DOI 10.1101/2025.08.02.668111

protein sequencedeep learning

BioinformaticsBriefings in BioinformaticsPeer-reviewedMay 23, 2024

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure

Leandro A. Bugnon, Leandro Ezequiel Di Persia, Matias F. Gerard…·Diego Humberto Milone

sincFold is a deep learning model that predicts RNA secondary structure contact matrices from sequences, outperforming existing methods on benchmark datasets.

14 citations

deep learningprotein structure prediction